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๐Ÿ” avoidance learning ๐Ÿ“‚ Engineering
Showing 39379 results for "avoidance learning" in Engineering
Engineering Preprint PDF DOI

Obstacle Avoidance of UAV in Dynamic Environments Using Direction and Velocity-Adaptive Artificial Potential Field

Nikita Vaibhav Pavle, Shrreya Rajneesh, Rakesh Kumar Sahoo, Manoranjan Sinha ยท 2025

The conventional Artificial Potential Field (APF) is fundamentally limited by the local minima issue and its inability to account for the kinematics of moving obstacles. This paper addresses the critiโ€ฆ

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Engineering Preprint PDF DOI

See Once, Then Act: Vision-Language-Action Model with Task Learning from One-Shot Video Demonstrations

Guangyan Chen, Meiling Wang, Qi Shao, Zichen Zhou, Weixin Mao, Te Cui, Minzhao Zhu, Yinan Deng, Luojie Yang, Zhanqi Zhang, Yi Yang, Hua Chen, Yufeng Yue ยท 2025

Developing robust and general-purpose manipulation policies represents a fundamental objective in robotics research. While Vision-Language-Action (VLA) models have demonstrated promising capabilities โ€ฆ

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Engineering Preprint PDF DOI

Precise Liver Tumor Segmentation in CT Using a Hybrid Deep Learning-Radiomics Framework

Xuecheng Li, Weikuan Jia, Komildzhon Sharipov, Alimov Ruslan, Lutfuloev Mazbutdzhon, Ismoilov Shuhratjon, Yuanjie Zheng ยท 2025

Accurate three-dimensional delineation of liver tumors on contrast-enhanced CT is a prerequisite for treatment planning, navigation and response assessment, yet manual contouring is slow, observer-depโ€ฆ

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Engineering Preprint PDF DOI

Dictionary-Based Contrastive Learning for GNSS Jamming Detection

Zawar Hussain, Arslan Majal, Aamir Hussain Chughtai, Talha Nadeem ยท 2025

Global Navigation Satellite System (GNSS) signals are fundamental in applications across navigation, transportation, and industrial networks. However, their extremely low received power makes them higโ€ฆ

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Engineering Preprint PDF DOI

Gait-Adaptive Perceptive Humanoid Locomotion with Real-Time Under-Base Terrain Reconstruction

Haolin Song, Hongbo Zhu, Tao Yu, Yan Liu, Mingqi Yuan, Wengang Zhou, Hua Chen, Houqiang Li ยท 2025

For full-size humanoid robots, even with recent advances in reinforcement learning-based control, achieving reliable locomotion on complex terrains, such as long staircases, remains challenging. In suโ€ฆ

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Engineering Preprint PDF DOI

From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent

Ali Joundi (IMB), Yann Traonmilin (IMB), Jean-Francois Aujol (UB, IMB) ยท 2025

We consider the problem of recovering an unknown low-dimensional vector from noisy, underdetermined observations. We focus on the Generalized Projected Gradient Descent (GPGD) framework, which unifiesโ€ฆ

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Engineering Preprint PDF DOI

Safety-Critical Control on Lie Groups Using Energy-Augmented Zeroing Control Barrier Functions

Alessandro Letti, Riccardo Zanella, Alessandro Macchelli, Federico Califano ยท 2025

We study safety-critical control on fully actuated mechanical systems by means of Zeroing Control Barrier Functions (ZCBFs) defined on Lie Groups. Specifically, we introduce and theoretically validateโ€ฆ

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Engineering Preprint PDF DOI

ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning

Byung-ju Kim, Jinu Pahk, Chungwoo Lee, Jaejoon Kim, Jangha Lee, Theo Taeyeong Kim, Kyuhwan Shim, Jun Ki Lee, Byoung-Tak Zhang ยท 2025

Behavior-cloning based visuomotor policies enable precise manipulation but often inherit the slow, cautious tempo of human demonstrations, limiting practical deployment. However, prior studies on acceโ€ฆ

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Engineering Preprint PDF DOI

Multi-Rigid-Body Approximation of Human Hands with Application to Digital Twin

Bin Zhao, Yiwen Lu, Haohua Zhu, Xiao Li, Sheng Yi ยท 2025

Human hand simulation plays a critical role in digital twin applications, requiring models that balance anatomical fidelity with computational efficiency. We present a complete pipeline for constructiโ€ฆ

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Engineering Preprint PDF DOI

Non-negative DAG Learning from Time-Series Data

Samuel Rey, Gonzalo Mateos ยท 2025

This work aims to learn the directed acyclic graph (DAG) that captures the instantaneous dependencies underlying a multivariate time series. The observed data follow a linear structural vector autoregโ€ฆ

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Engineering Preprint PDF DOI

SINRL: Socially Integrated Navigation with Reinforcement Learning using Spiking Neural Networks

Florian Tretter, Daniel Flogel, Alexandru Vasilache, Max Grobbel, Jurgen Becker, Soren Hohmann ยท 2025

Integrating autonomous mobile robots into human environments requires human-like decision-making and energy-efficient, event-based computation. Despite progress, neuromorphic methods are rarely applieโ€ฆ

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Engineering Preprint PDF DOI

Unsupervised Single-Channel Audio Separation with Diffusion Source Priors

Runwu Shi, Chang Li, Jiang Wang, Rui Zhang, Nabeela Khan, Benjamin Yen, Takeshi Ashizawa, Kazuhiro Nakadai ยท 2025

Single-channel audio separation aims to separate individual sources from a single-channel mixture. Most existing methods rely on supervised learning with synthetically generated paired data. However, โ€ฆ

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Engineering Preprint PDF DOI

Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics

Tianyi Ren, Daniel Low, Pittra Jaengprajak, Juampablo Heras Rivera, Jacob Ruzevick, Mehmet Kurt ยท 2025

Segmentation is the identification of anatomical regions of interest, such as organs, tissue, and lesions, serving as a fundamental task in computer-aided diagnosis in medical imaging. Although deep lโ€ฆ

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Engineering Preprint PDF DOI

Enhanced Chest Disease Classification Using an Improved CheXNet Framework with EfficientNetV2-M and Optimization-Driven Learning

Ali M. Bahram, Saman Muhammad Omer, Hardi M. Mohammed, Sirwan Abdolwahed Aula ยท 2025

The interpretation of Chest X-ray is an important diagnostic issue in clinical practice and especially in the resource-limited setting where the shortage of radiologists plays a role in delayed diagnoโ€ฆ

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Engineering Preprint PDF DOI

Surrogate compliance modeling enables reinforcement learned locomotion gaits for soft robots

Jue Wang, Mingsong Jiang, Luis A.Ramirez, Bilige Yang, Mujun Zhang, Esteban Figueroa, Wenzhong Yan, Rebecca Kramer-Bottiglio ยท 2025

Adaptive morphogenetic robots adapt their morphology and control policies to meet changing tasks and environmental conditions. Many such systems leverage soft components, which enable shape morphing bโ€ฆ

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Engineering Preprint PDF DOI

TagLabel: RFID Based Orientation and Material Sensing for Automated Package Inspection

David Wang, Jiale Zhang, Pei Zhang ยท 2025

Modern logistics systems face increasing difficulty in identifying counterfeit products, fraudulent returns, and hazardous items concealed within packages, yet current package screening methods remainโ€ฆ

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Engineering Preprint PDF DOI

Random Access for LEO Satellite Communication Systems via Deep Learning

Hyunwoo Lee, Ian P. Roberts, Jinkyo Jeong, Daesik Hong ยท 2025

Integrating contention-based random access procedures into low Earth orbit (LEO) satellite communication (SatCom) systems poses new challenges, including long propagation delays, large Doppler shifts,โ€ฆ

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Engineering Preprint PDF DOI

A Hetero-Associative Sequential Memory Model Utilizing Neuromorphic Signals: Validated on a Mobile Manipulator

Runcong Wang, Fengyi Wang, Gordon Cheng ยท 2025

This paper presents a hetero-associative sequential memory system for mobile manipulators that learns compact, neuromorphic bindings between robot joint states and tactile observations to produce stepโ€ฆ

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Engineering Preprint PDF DOI

Parametric Design of a Cable-Driven Coaxial Spherical Parallel Mechanism for Ultrasound Scans

Maryam Seraj, Mohammad Hossein Kamrava, Carlo Tiseo ยท 2025

Haptic interfaces play a critical role in medical teleoperation by enabling surgeons to interact with remote environments through realistic force and motion feedback. Achieving high fidelity in such sโ€ฆ

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Engineering Preprint PDF DOI

Feasibility-aware Learning of Robust Temporal Logic Controllers using BarrierNet

Wenliang Liu, Shuo Liu, Wei Xiao, Calin A. Belta ยท 2025

Control Barrier Functions (CBFs) have been used to enforce safety and task specifications expressed in Signal Temporal Logic (STL). However, existing CBF-STL approaches typically rely on fixed hyperpaโ€ฆ

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